Comparison of Stock Price Prediction Models using Pre-trained Neural Networks
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Efficient Two Stage Identification for Face mask detection using Multiclass Deep Learning Approach
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Design an Adaptive Hybrid Approach for Genetic Algorithm to Detect Effective Malware Detection in Android Division
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Blockchain Framework for Communication between Vehicle through IoT Devices and Sensors
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Gas Leakage Detection in Pipeline by SVM classifier with Automatic Eddy Current based Defect Recognition Method
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A Review on Data Securing Techniques using Internet of Medical Things
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Machine Learning Algorithms Performance Analysis for VLSI IC Design
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Maximizing the Prediction Accuracy in Tweet Sentiment Extraction using Tensor Flow based Deep Neural Networks
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Assimilation of IoT sensors for Data Visualization in a Smart Campus Environment
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DDOS ATTACK DETECTION IN TELECOMMUNICATION NETWORK USING MACHINE LEARNING
Volume-1 | Issue-1
Gas Leakage Detection in Pipeline by SVM classifier with Automatic Eddy Current based Defect Recognition Method
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Design an Adaptive Hybrid Approach for Genetic Algorithm to Detect Effective Malware Detection in Android Division
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Comparison of Stock Price Prediction Models using Pre-trained Neural Networks
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Construction of a Framework for Selecting an Effective Learning Procedure in the School-Level Sector of Online Teaching Informatics
Volume-3 | Issue-4
Machine Learning Algorithms Performance Analysis for VLSI IC Design
Volume-3 | Issue-2
Efficient Two Stage Identification for Face mask detection using Multiclass Deep Learning Approach
Volume-3 | Issue-2
Characterizing WDT subsystem of a Wi-Fi controller in an Automobile based on MIPS32 CPU platform across PVT
Volume-2 | Issue-4
Assimilation of IoT sensors for Data Visualization in a Smart Campus Environment
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Design of Data Mining Techniques for Online Blood Bank Management by CNN Model
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Ethereum and IOTA based Battery Management System with Internet of Vehicles
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Volume - 2 | Issue - 1 | march 2020
Published
11 April, 2020
The sensors grouped to gather to form the network of their own, in the wireless medium and communicating to the each other over radio, faces issues that leads to failure in continuous communication, causing miss communication as it is powered by batteries with limited energy availability So it becomes essential to device a perfect routing scheme that is energy efficient. Though the clustering approach was found to be highly efficient to manage the transmission from source to the target. The elected head in each cluster has to take the entire load on it as it has to gather all the data and transmit it to the base station. So it was necessary to balance the load in the network formed using the sensor and communicating in wireless medium. The GWO (Grey Wolf Optimization)-PSO (Particle Swarm Optimization) based clustering is followed in the paper to have a perfect clustering with balanced load as well as energy efficient optimization. The method followed in the paper was simulated using the network simulator-Two to identify the performance improvements in the sensor networks communicating in wireless medium.
KeywordsSensor-Networks Wireless Communication Medium Balanced Load Energy Optimization Machine Learning
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